WatersTechnology is proud to announce the Buy-Side Technology European Summit is returning for the eighth year. The event will address the latest trading and technology challenges affecting the buy-sâ¦

The aim of the awards is to recognize the leading technologies and vendors in their area of expertise, through an auditable and transparent methodology underpinned by the input and experience of six â¦

This special report focuses on the growing appetite for the use of utilities for managing reference data. The report further includes a virtual roundtable at which various industry experts build a roâ¦

NAFIS 2017: Evolving Data Science Key to Effective Data Mining

Integrating data science projects will be key for institutions to get the most out of data in the future, but skillsets and the role of data scientist teams are still evolving. Joanne Faulkner reports.

Victor Tewari, a senior technology officer at BMO Financial Group, who moderated the discussion, said that firms are starting to realize they have “an ocean of information not only within their firms but within their grasps. Data is quite cheap, and that information is only as useful as how well you can actually mine that information and derive meaning from it.”

To achieve that, firms need a data science function, but it’s equally important to define that function, said Jenna Ahn, vice presiden